About the Company We are looking for an experienced Python Developer with expertise in using TensorFlow/PyTorch, LangChain, OpenAI API, Elasticsearch and a deep understanding of Natural Language Processing to help us develop and optimize high-performance applications. About the Role You will be responsible for implementing, testing, and maintaining data pipelines, machine learning models, and NLP techniques to extract valuable insights from data. Responsibilities Design, develop, and maintain Python-based data analysis and machine learning applications with clean and well-documented code Develop, optimize and deploy ML models for information retrieval, LLM-based agents, embeddings (FAISS, Pinecone, Weaviate), predictive analytics, and Retrieval-Augmented Generation (RAG) Research and implement NLP algorithms for text classification, sentiment analysis, named entity recognition (NER), and topic modeling, including troubleshooting and debugging to ensure reliable performance at scale Implement data pipelines and ETL processes for big data processing Collaborate with cross-functional teams to understand business requirements and build scalable tech Qualifications Strong proficiency in Python with hands-on experience in libraries like Pandas, NumPy, scikit-learn, TensorFlow, PyTorch Expertise in information retrieval, statistical analysis, data visualization and developing LLM-based agents, embeddings (FAISS, Pinecone, Weaviate), predictive analytics, and Retrieval-Augmented Generation (RAG) Hands-on experience with Natural Language Processing (NLP) libraries such as NLTK, spaCy, Hugging Face, or similar tools Experience with data wrangling techniques, including cleaning, transforming, and merging data sets from various sources Familiarity with machine learning algorithms and frameworks (supervised, unsupervised learning, and deep learning techniques) Solid understanding of text analytics such as text pre-processing, tokenization, stemming, lemmatization, and part-of-speech tagging Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) is a plus. Knowledge of data visualization tools (Matplotlib, Seaborn, ggplot2, Plotly, etc.) Strong problem-solving skills and attention to detail with ability to work in an agile, fast-paced environment and deliver results under tight deadlines Required Skills 4 year Bachelor’s degree in Computer Science, Information Technology, Data Science, Statistics or related domains, or equivalent qualification 4+ years in developing scalable ML models, NLP models and systems from 0 to 1 and deploying them to production Strong knowledge of RESTful APIs and GraphQL for frontend-backend communication Familiarity with version control using Git, CI/CD tools, and deployment pipelines Knowledge of big data tools and platforms (Spark, Hadoop, etc.) and experience with managing databases

About the Company We are looking for an experienced MERN Stack Developer to build and optimize our frontend and integrate it with backend APIs. The developer will be responsible for building interactive agent dashboards, visualizing agent rankings, and ensuring real-time updates. About the Role The developer will be responsible for building interactive agent dashboards, visualizing agent rankings, and ensuring real-time updates. Responsibilities Develop responsive and high-performance web applications using React.js, Next.js, and TypeScript. Implement complex state management solutions (Redux, Zustand, or Recoil). Work with Node.js and Express to integrate with Golang backend services. Optimize frontend performance with SSR, code splitting, lazy loading. Implement real-time updates using WebSockets and event-driven architectures. Work with D3.js or similar visualization libraries to build agent ranking and relationship graphs. Ensure seamless authentication flows (OAuth, JWT). Collaborate with backend engineers to define API contracts and optimize integration. Write clean, maintainable code with proper documentation and testing. Optimize deployment with CI/CD, Docker, and cloud hosting (Vercel, AWS). Qualifications 5+ years of experience in MERN stack (MongoDB, Express, React, Node.js) with experience in building at least 2 applications from scratch. Required Skills Strong proficiency in React.js, Next.js, TypeScript, and Redux. Hands-on experience with Node.js, Express.js, and RESTful API integration. Experience in WebSockets, real-time updates, and event-driven architectures. Familiarity with D3.js, Chart.js, or similar visualization tools (a plus). Proficiency in CSS-in-JS (Styled Components, Tailwind CSS). Experience with CI/CD pipelines, Docker, and cloud deployment (Vercel, AWS). Strong problem-solving skills and attention to detail. Preferred Skills Experience with CI/CD pipelines, Docker, and cloud deployment (Vercel, AWS).

About the Company We are looking for a skilled Golang Backend Developer to design and implement high-performance, scalable backend services for our agent-based system. The ideal candidate will work on authentication (IDAM), agent interactions, ranking algorithms, and microservices, ensuring a secure and efficient backend. About the Role The Golang Developer will be responsible for designing, developing, and maintaining high-performance backend services. Responsibilities Design, develop, and maintain high-performance RESTful APIs using Golang Architect and implement microservices for agentic applications. Build and optimize ID and access management systems (authentication & authorization) using OAuth, JWT, or similar protocols. Develop and manage event-driven architectures (Kafka, NATS, or RabbitMQ) for real-time agent interactions. Work with PostgreSQL, MongoDB, and Redis to optimize data storage, indexing, and caching strategies. Implement graph-based data structures for agent relationships and ranking calculations. Ensure scalability, security, and reliability of backend services. Collaborate with the frontend and data teams to integrate APIs effectively. Write unit and integration tests to maintain robust backend performance. Manage infrastructure deployment using Docker, Kubernetes, and cloud services (AWS/GCP). Qualifications 5+ years of experience in backend development from scratch using Golang Required Skills Strong experience in building scalable RESTful APIs and microservices. Knowledge of authentication frameworks (OAuth, JWT, OpenID Connect). Experience with database systems (PostgreSQL, MongoDB, Redis). Familiarity with event-driven systems (Kafka, NATS, RabbitMQ). Hands-on experience with Docker, Kubernetes, and cloud deployments (AWS/GCP). Experience working with Graph-based data structures, ranking algorithms and programming in python is a plus. Strong problem-solving skills and a product-oriented mindset. Familiarity with DevOps tools (CI/CD, monitoring, logging). Preferred Skills Experience working with Graph-based data structures, ranking algorithms and programming in python is a plus.